A method to adjust regularization parameter of fast affine projection algorithm

Author

Chen, Kai ; Lu, Jing ; Xu, Boling

Author_Institution

Inst. of Acoust., Nanjing Univ.

Volume

1

fYear

2006

fDate

16-20 2006

Abstract

Fast affine projection (FAP) algorithm is widely used recently for its NLMS like computational complexity and RLS like convergence rate. The regularization parameter in the FAP algorithm is used to guarantee a well behaved inverse of the covariance matrix, and it plays an important role in the performance of the FAP algorithm. However, the fixed value of the regularization parameter in the conventional FAP algorithm degrades the performance of the system when the signal and the acoustic environment have noticeable variations. In this paper, an efficient method is proposed to adjust the regularization parameter. Compared to the direct adjusting methods, it costs less computational burden and can be activated more frequently according to different signal and environment status

Keywords

code division multiple access; computational complexity; covariance matrices; least mean squares methods; telecommunication congestion control; time division multiple access; TD-SCDMA; computational complexity; covariance matrix; direct adjusting methods; fast affine projection algorithm; regularization parameter; regularization parameter adjustment; Adaptive filters; Convergence; Covariance matrix; Degradation; Energy states; Filtering algorithms; Financial advantage program; Projection algorithms; Resonance light scattering; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.344515

Filename

4128851